李国栋, 陈维南. 一种新的位置数据融合方法的研究[J]. 机器人, 1997, 19(4): 290-293.
引用本文: 李国栋, 陈维南. 一种新的位置数据融合方法的研究[J]. 机器人, 1997, 19(4): 290-293.
LI Guodong, CHEN Weinan. A STUDY OF A NEW METHOD OF LOCATION DATA FUSION[J]. ROBOT, 1997, 19(4): 290-293.
Citation: LI Guodong, CHEN Weinan. A STUDY OF A NEW METHOD OF LOCATION DATA FUSION[J]. ROBOT, 1997, 19(4): 290-293.

一种新的位置数据融合方法的研究

A STUDY OF A NEW METHOD OF LOCATION DATA FUSION

  • 摘要: 给出了一新的基于团队一致法的多传感器位置数据融合方法.该方法按传感器队中的每个成员的测量不确定性,构造团队期望效用函数(或密度),并基于该期望效用函数(密度)求得位置参数估计.其优点是可消除失效传感器和测量值为野值的传感器的影响.本文给出了仿真结果.

     

    Abstract: This paper proposes a new method for multi-sensor location data fusion.The method is based on team consensus approach.It constructs the expected utility function(or density) of the team based on the uncertainty of every sensor,the location estimation is obtained based on the team expected utility function(or its density).Outlier and sensor failure can not affect the location estimation.The simulation results are given at the end of this paper.

     

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